Our Scans · AI-Driven Optimisation & Personalisation · Weekly Summary

• [New] In 2024, there will great strides in ensuring artificial intelligence is no longer an isolated venture; it will be a ubiquitous, essential ingredient in decision automation and governance, while offering full transparency and auditability. FICO Decisions Blog
• [New] Reinforcement Learning will be taking a leap forward in 2024, contributing to the development of smarter and more adaptive autonomous systems. TheCodeWork
• [New] Remarkable breakthroughs in the field of reinforcement learning include DeepMind's agent AlphaGo Zero that can defeat even human champions in the game of Go and AlphaFold that can predict complex 3D protein structure. KDnuggets
• A study in China applied deep reinforcement learning (DRL) to predict mineralization potential in gold deposits, illustrating how ML can manage complex, high-dimensional datasets and make accurate predictions in uncertain environments. SpringerLink
• The Supercharged Sandbox will offer better data, technical expertise, and regulatory support to boost AI experimentation and, consequently, adoption. Crowdfund Insider
• IDC acknowledges that realizing the potential of artificial intelligence involves risks, and moving from the hype of AI experimentation to realizing its value. Baufest
• By 2026, AI in healthcare will include sophisticated deep learning for analyzing multimodal data, agentic AI working autonomously towards goals, and reinforcement learning for personalized medicine. TECH TICH | AI Tools, Software Reviews & Tech Guides
• A new year brings new opportunities - and firms investing in private markets are entering 2026 with a focus on moving from AI experimentation to deployment. Traders Magazine
• The Agentic AI solution is the biggest new product bet, and it's the one that will define whether Nutanix can grow its relevance as enterprises move past basic AI experimentation and into production-scale deployments. vmblog.com
• The recent demonstration of Atlas by Boston Dynamics marks a significant milestone in the field of robotics, showcasing the potential of reinforcement learning and motion capture technology. Trends Newsline
• A team at Princeton University in the US used deep reinforcement learning to forecast disturbances in fusion plasma known as tearing mode instabilities, up to 300 milliseconds before they appear. Yahoo News

Last updated: 23 June 2026